Cluster-based classification of high-resolution data

摘要

Classification of images or other types of high-resolution data is performed by a cluster-based data classification system. The system comprises a learner module, a classification director, and a complex classifier comprising a plurality of multi-outcome data classifiers. The classification director determines particular process rules and settings to be applied to a classification request, and the complex classifier is instantiated to process the classification request in accordance with the process rules and settings determined by the classification director. The process rules and settings are adapted under control of the learner module at least in part based on results obtained in processing the classification request and one or more additional classification requests. The cluster-based data classification system may be implemented on a processing platform comprising at least one Hadoop cluster, such that the classification is performed in a parallel manner across multiple processing devices utilizing MapReduce processing.